[论文解读] Impact of Urban Micromobility Technology on Pedestrian and Rider Safety: A Field Study Using Pedestrian Crowd-Sensing.

Anindya Maiti, Nisha Vinayaga-Sureshkanth+2 more|arXiv (Cornell University)|Aug 16, 2019

Personal Information Management and User Behavior参考文献 4被引用 10

一句话总结

本研究基于为期三个月的两个大学校园的众包感知电动滑板车与行人相遇数据，分析微型移动出行对行人安全的影响。研究识别出高风险时空区域，并建立了一个基于真实世界移动数据的都市安全研究数据驱动蓝图。

ABSTRACT

The popularity and proliferation of electric scooters (e-scooters) as a micromobility solution in our cities and urban communities has been rapidly rising. Rent-by-the-minute pricing and a healthy competition between micromobility service providers is also benefiting riders with low trip costs. However, an unprepared urban infrastructure, combined with uncertain operation policies and poor regulation enforcement, has resulted in e-scooter riders encroaching public spaces meant for pedestrians, thus causing significant safety concerns both for themselves and the pedestrians. As a consequence, it has become critical to understand the current state of pedestrian safety in our urban communities vis-a-vis e-scooter services, identify factors that impact pedestrian safety due to such services, and determine how to support pedestrian safety going forward. Unfortunately, to date there have been no realistic, data-driven efforts within the research community that address these issues. In this work, we conduct a field study to empirically investigate crowd-sensed encounter data between e-scooters and pedestrian participants on two urban university campuses over a three-month period. We also analyze encounter statistics and mobility trends that could identify potentially unsafe spatio-temporal zones for pedestrians. This first-of-its-kind work provides a preliminary blueprint on how crowd-sensed micromobility data can enable safety-related studies in urban communities.

研究动机与目标

• 通过实证方法研究微型移动出行（电动滑板车）对城市环境中行人安全的影响。
• 识别由于电动滑板车普及而导致行人与骑行者相遇风险增加的时空区域。
• 开发一种基于真实世界移动数据的微型移动出行安全评估数据驱动框架。
• 通过提供基于证据的微型移动出行基础设施需求洞察，支持城市规划与政策制定。

提出的方法

• 在两个城市大学校园内开展为期三个月的实地研究，收集电动滑板车骑行者与行人之间实时的众包感知相遇数据。
• 利用移动传感技术收集移动数据，以追踪电动滑板车和行人的位置、速度及相对距离。
• 分析相遇统计数据，以检测互动模式，并基于频率和距离识别高风险区域。
• 采用时空分析方法，绘制并分类行人与骑行者互动率较高的区域。
• 应用移动趋势分析，以理解电动滑板车用户与行人在线共享城市空间中的行为模式。

实验结果

研究问题

• RQ1 城市校园中行人与电动滑板车相遇的时空模式是什么？
• RQ2 哪些地点和时间的潜在不安全互动频率最高？
• RQ3 电动滑板车使用模式与行人安全风险之间存在何种相关性？
• RQ4 城市基础设施在调节行人与骑行者冲突中发挥何种作用？

主要发现

• 研究识别出大学校园中特定高流量区域，行人与电动滑板车相遇最为频繁，表明可能存在安全热点。
• 在高峰教学时段，尤其是上下课时间及高流量通道附近，相遇事件显著增多。
• 大量近距离相遇事件发生在共享人行道和斑马线上，表明行人与微型移动出行车道之间缺乏有效隔离。
• 数据揭示了电动滑板车骑行者频繁穿越行人密集区域的重复模式，从而增加了碰撞风险。
• 本研究证明，众包感知移动数据能够有效在真实城市环境中绘制并量化安全风险。